About the Journal

The Journal of Computational Innovation and Analytics (JCIA) is an international peer reviewed journal and the officially managed by the School of Quantitative Sciences (SQS).

The journal publishes original research on all aspects of applied and pure computational models, especially targeting papers demonstrating the use of computational techniques and methods originating from computational intelligence theory. Read full Aims & Scope.

This is a free open access journal, that is no article processing charge (APC), and all articles are immediately and permanently free to read, download, copy & distribute. The journal is published under the CC BY user license which defines the permitted 3rd-party reuse of its articles. JCIA aims to publish original papers every 6 months (January and July) in the form of concepts, research results, as well as case studies, related to ideas, consulting activities, designs, and new products, as well as quantitative methods for identifying useful patterns in the applications of mathematics, computational mathematics and statistics. JCIA is publication fully funded by Universiti Utara Malaysia.

JCIA, in particular, will build its identity by focusing on innovative aspects and computational-based analytical methods. The priority areas are computational mathematics, statistics, probability and uncertainty, and computer science applications that will be published from time to time. In line with the educational transformation of the digital world millennium and new norms, JCIA intends to play a more significant role in statistical theory and mathematics and the application of the field.

Calls for papers for the issues which are currently open for submission. For inquiries regarding special issue proposals, please contact the Editor-in-Chief: jcia@uum.edu.my

For any other questions about this publication, please contact our publishing team.

Archiving Policy

This journal subscribes LOCKSS and CLOCKSS archival system based at Stanford University Libraries, United Kingdom, through PKP Private LOCKSS and CLOCKSS Network program.